Stripe order in the underdoped region of the two-dimensional Hubbard model

By B. Zheng, Chia-Min Chung, Philippe Corboz, G. Ehlers, M. Qin, R. Noack, Hao Shi, S. White, Shiwei Zhang, Garnet Kin-Lic Chan. Science, 2016

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Numerics converging on stripes The Hubbard model (HM) describes the behavior of interacting particles on a lattice where the particles can hop from one lattice site to the next. Although it appears simple, solving the HM when the interactions are repulsive, the particles are fermions, and the temperature is low—all of which applies in the case of correlated electron systems—is computationally challenging. Two groups have tackled this important problem. Huang et al. studied a three-band version of the HM at finite temperature, whereas Zheng et al. used five complementary numerical methods that kept each other in check to discern the ground state of the HM. Both groups found evidence for stripes, or one-dimensional charge and/or spin density modulations. Science, this issue p. 1161, p. 1155 Multiple numerical methods are used to study the ground-state and finite-temperature solutions of the Hubbard model. Competing inhomogeneous orders are a central feature of correlated electron materials, including the high-temperature superconductors. The two-dimensional Hubbard model serves as the canonical microscopic physical model for such systems. Multiple orders have been proposed in the underdoped part of the phase diagram, which corresponds to a regime of maximum numerical difficulty. By combining the latest numerical methods in exhaustive simulations, we uncover the ordering in the underdoped ground state. We find a stripe order that has a highly compressible wavelength on an energy scale of a few kelvin, with wavelength fluctuations coupled to pairing order. The favored filled stripe order is different from that seen in real materials. Our results demonstrate the power of modern numerical methods to solve microscopic models, even in challenging settings.

Subfields: Atomic and Molecular Physics, and Optics, Electronic, Optical and Magnetic Materials

View Paper: https://www.semanticscholar.org/paper/ea8786a30f7adfb9d02d04fe666ee6a5fe9330d4

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In Atomic and Molecular Physics, and Optics

  1. Andrew J. Daley
  2. Matthias Troyer
  3. Peter Zoller
  4. I. Bloch
  5. S. White
  6. E. Stoudenmire
  7. Hong-Chen Jiang
  8. Garnet Kin-Lic Chan

In Electronic, Optical and Magnetic Materials

  1. Kevin J Sung
  2. Vadim N. Smelyanskiy
  3. Zhang Jiang
  4. Kostyantyn Kechedzhi
  5. Sergio Boixo
  6. Peter Zoller
  7. I. Bloch
  8. Gustavo E. Scuseria

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